class_docstr: This class is a child class of the ComprehensiveFCParameters class
  and has the same functionality as its base class.
  
  The only difference is that only the features that require a pd.Series as an input are
  included. Those have an attribute "input" with value "pd.Series".
code: def __init__(self):
      ComprehensiveFCParameters.__init__(self)
      # drop all features with high computational costs
      for fname, f in feature_calculators.__dict__.items():
          if fname in self and getattr(f, "input", None) != "pd.Series":
              del self[fname]
  
imports: import logging
  from builtins import range
  from collections import UserDict
  from inspect import getfullargspec
  from itertools import product
  import cloudpickle
  import pandas
  from tsfresh.feature_extraction import feature_calculators
  from tsfresh.utilities.string_manipulation import get_config_from_string
label_desc: Use image node_id 1 to create a new IndexBasedFCParameters object from inherited base classes: ComprehensiveFCParameters with example: obj = IndexBasedFCParameters()